DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
Model details →DeepSeek: DeepSeek V4 Pro vs Xiaomi: MiMo-V2.5-Pro
Xiaomi: MiMo-V2.5-Pro wins on 1 of 6 axes — pricing and capability skew in its favour for most workloads.
MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....
Model details →Side-by-side comparison
| Capability | DeepSeek: DeepSeek V4 Pro | Xiaomi: MiMo-V2.5-Pro | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | 1.1M | 🏆 Xiaomi: MiMo-V2.5-Pro |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.43 | $0.43 | Tie |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.87 | $0.87 | Tie |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is DeepSeek: DeepSeek V4 Pro better than Xiaomi: MiMo-V2.5-Pro?
Xiaomi: MiMo-V2.5-Pro wins on 1 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between DeepSeek: DeepSeek V4 Pro and Xiaomi: MiMo-V2.5-Pro?
Input: $0.43 vs $0.43 per 1M tokens. Output: $0.87 vs $0.87 per 1M tokens.
What context windows do DeepSeek: DeepSeek V4 Pro and Xiaomi: MiMo-V2.5-Pro support?
DeepSeek: DeepSeek V4 Pro supports up to 1.0M tokens. Xiaomi: MiMo-V2.5-Pro supports up to 1.1M tokens.
Do both DeepSeek: DeepSeek V4 Pro and Xiaomi: MiMo-V2.5-Pro support tool calling?
DeepSeek: DeepSeek V4 Pro: yes. Xiaomi: MiMo-V2.5-Pro: yes.
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